(base) D:\wenxvn\coding\yolov5\yolov5-7.0>conda activate yolov5
(yolov5) D:\wenxvn\coding\yolov5\yolov5-7.0>C:/mini/envs/yolov5/python.exe d:/wenxvn/coding/yolov5/yolov5-7.0/detect.py
detect: weights=yolov5s.pt, source=data\images, data=data\coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs\detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1
requirements: YOLOv5 requirement "numpy==1.20.3" not found, attempting AutoUpdate...
WARNING: Ignore distutils configs in setup.cfg due to encoding errors.
ERROR: Could not install packages due to an OSError: [WinError 5] 拒绝访问。: 'c:\\mini\\envs\\yolov5\\lib\\site-packages\\numpy\\.libs\\libopenblas.XWYDX2IKJW2NMTWSFYNGFUWKQU3LYTCZ.gfortran-win_amd64.dll'
Consider using the `--user` option or check the permissions.
requirements: Command 'pip install "numpy==1.20.3" ' returned non-zero exit status 1.
YOLOv5 2022-11-22 Python-3.8.20 torch-1.8.2+cu111 CUDA:0 (NVIDIA GeForce RTX 4060 Laptop GPU, 8188MiB)
Fusing layers...
YOLOv5s summary: 213 layers, 7225885 parameters, 0 gradients, 16.4 GFLOPs
image 1/2 D:\wenxvn\coding\yolov5\yolov5-7.0\data\images\bus.jpg: 640x480 4 persons, 1 bus, 5.6ms
image 2/2 D:\wenxvn\coding\yolov5\yolov5-7.0\data\images\zidane.jpg: 384x640 2 persons, 2 ties, 15.9ms
Speed: 0.5ms pre-process, 10.8ms inference, 6.3ms NMS per image at shape (1, 3, 640, 640)
Results saved to runs\detect\exp2
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